Authors:
- A rigorous analytical development of Bayesian methodology
- A procedural approach to using Bayesian theory to characterize real world problems
- The usefulness and relevance of Bayesian method is illustrated by analyzing various real world problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Studies in Probability and Statistics (ATLANTISSPS, volume 1)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyond presenting Bayesian theory and methods of analysis, the text is illustrated with a variety of applications to real world problems.
Authors and Affiliations
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National Metallurgical Academy Of Ukrain, Dnipropetrovsk, Ukraine
Vladimir Savchuk
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, Department of Mathematics and Statistics, University of South Florida, Tampa, USA
Chris P. Tsokos
Bibliographic Information
Book Title: Bayesian Theory and Methods with Applications
Authors: Vladimir Savchuk, Chris P. Tsokos
Series Title: Atlantis Studies in Probability and Statistics
DOI: https://doi.org/10.2991/978-94-91216-14-5
Publisher: Atlantis Press Paris
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Atlantis Press 2011
Hardcover ISBN: 978-94-91216-13-8Published: 02 September 2011
Softcover ISBN: 978-94-91216-41-1Published: 27 November 2013
eBook ISBN: 978-94-91216-14-5Published: 01 September 2011
Series ISSN: 1879-6893
Series E-ISSN: 1879-6907
Edition Number: 1
Number of Pages: XIV, 318
Topics: Statistical Theory and Methods, Applications of Mathematics, Mathematical Modeling and Industrial Mathematics, Probability and Statistics in Computer Science, Biostatistics, Popular Science, general
